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OriginLab VS Google Cloud Dataproc

Compare OriginLab VS Google Cloud Dataproc and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

OriginLab logo OriginLab

OriginLab is a data analysis tool that provide the engineers and scientist with the technical charts and system for 2D and 3D plotting and all kind of fitting including curve and peak fitting.

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • OriginLab Landing page
    Landing page //
    2022-10-21
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

OriginLab videos

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OriginLab® Origin 9.1: New Features Overview

Google Cloud Dataproc videos

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Dataproc

Category Popularity

0-100% (relative to OriginLab and Google Cloud Dataproc)

OriginLab

Google Cloud Dataproc

Technical Computing
100 100%
Technical Computing
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Business & Commerce
100 100%
Business & Commerce
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using OriginLab and Google Cloud Dataproc. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare OriginLab and Google Cloud Dataproc

OriginLab Reviews

25 Best Statistical Analysis Software
With its user-friendly interface, comprehensive documentation, and active user community, Origin is an invaluable resource for researchers, scientists, and students alike.
Source: www.scijournal.org

Google Cloud Dataproc Reviews

We have no reviews of Google Cloud Dataproc yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Google Cloud Dataproc seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

OriginLab mentions (0)

We have not tracked any mentions of OriginLab yet. Tracking of OriginLab recommendations started around Mar 2021.

Google Cloud Dataproc mentions (3)

  • Connecting IPython notebook to spark master running in different machines
    I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago
  • Why we don’t use Spark
    Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / about 2 years ago
  • Data processing issue
    With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: over 2 years ago

What are some alternatives?

When comparing OriginLab and Google Cloud Dataproc, you can also consider the following products

GraphPad Prism - Overview. GraphPad Prism, available for both Windows and Mac computers, combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

MyAnalytics - MyAnalytics, now rebranded to Microsoft Viva Insights, is a customizable suite of tools that integrates with Office 365 to drive employee engagement and increase productivity.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Azure Databricks - Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.

HortonWorks Data Platform - The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly...

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